[Coursera] Natural Language Processing by Michael Collins (Columbia University) Torrent Download

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Name:	[Coursera] Natural Language Processing by Michael Collins (Columbia University)
Usenet:	Downloads Anonymously to Unlimited data Access! Get Usenet Free Trial
Hash:	F99E7184FCA947EE8F77901679E171FCADBF82E7
Category:	Other
Peers:	Seeds: 1 & Leechers: 4
Size:	1.12 GB
Stream:	Watch Full HD Movies @ LimeMovies
Date:	18 June 2016

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Torrent Files Size: 1.12 GB
coursera-nlp assignments assignment-1/h1-p.4.pdf - 148.81 KB assignment-1/h1-p.zip - 1.01 MB assignment-2/h2-p.2.pdf - 168.59 KB assignment-2/h2.2.zip - 139.86 KB assignment-3/h3-p.pdf - 151.91 KB assignment-3/h3.zip - 608.01 KB assignment-4/h4-p.pdf - 167.24 KB assignment-4/h4.zip - 1.2 MB lectures week1-01/Natural Language Processing 0.0 Introduction (Part 1) (1117).mp4 - 14.18 MB week1-01/Natural Language Processing 0.1 Introduction (Part 2) (1028).mp4 - 11.86 MB week1-02/Natural Language Processing 1.0 Introduction to the Language Modeling Problem (Part 1) (617).mp4 - 7.49 MB week1-02/Natural Language Processing 1.1 Introduction to the Language Modeling Problem (Part 2) (712).mp4 - 8.33 MB week1-02/Natural Language Processing 1.2 Markov Processes (Part 1) (856).mp4 - 10.22 MB week1-02/Natural Language Processing 1.3 Markov Processes (Part 2) (628).mp4 - 7.35 MB week1-02/Natural Language Processing 1.4 Trigram Language Models (940).mp4 - 11.07 MB week1-02/Natural Language Processing 1.5 Evaluating Language Models Perplexity (1236).mp4 - 14.74 MB week1-03/Natural Language Processing 2.0 Linear Interpolation (Part 1) (746).mp4 - 9.07 MB week1-03/Natural Language Processing 2.1 Linear Interpolation (Part 2) (1135).mp4 - 13.67 MB week1-03/Natural Language Processing 2.2 Discounting Methods (Part 1) (926).mp4 - 11.19 MB week1-03/Natural Language Processing 2.3 Discounting Methods (Part 2) (334).mp4 - 4.43 MB week1-04/Natural Language Processing 3.0 Summary (231).mp4 - 3.01 MB week10-01/Natural Language Processing 18.0 Introduction (102).mp4 - 1.14 MB week10-01/Natural Language Processing 18.1 Recap of GLMs (740).mp4 - 9.18 MB week10-01/Natural Language Processing 18.2 GLMs for Tagging (Part 1) (526).mp4 - 6.94 MB week10-01/Natural Language Processing 18.3 GLMs for Tagging (Part 2) (735).mp4 - 9.32 MB week10-01/Natural Language Processing 18.4 GLMs for Tagging (Part 3) (706).mp4 - 8.71 MB week10-01/Natural Language Processing 18.5 GLMs for Tagging (Part 4) (600).mp4 - 7.23 MB week10-02/Natural Language Processing 19.0 Introduction (037).mp4 - 699.68 KB week10-02/Natural Language Processing 19.1 The Dependency Parsing Problem (Part 1) (521).mp4 - 6.4 MB week10-02/Natural Language Processing 19.2 The Dependency Parsing Problem (Part 2) (1353).mp4 - 17.13 MB week10-02/Natural Language Processing 19.3 GLMs for Dependency Parsing (Part 1) (1159).mp4 - 14.15 MB week10-02/Natural Language Processing 19.4 GLMs for Dependency Parsing (Part 2) (828).mp4 - 10.98 MB week10-02/Natural Language Processing 19.5 Experiments with GLMs for Dep. Parsing (538).mp4 - 6.95 MB week10-02/Natural Language Processing 19.6 Summary (250).mp4 - 3.35 MB week2-01/Natural Language Processing 4.0 The Tagging Problem (1001).mp4 - 13.05 MB week2-01/Natural Language Processing 4.1 Generative Models for Supervised Learning (857).mp4 - 10.68 MB week2-01/Natural Language Processing 4.2 Hidden Markov Models (HMMs) Basic Definitions (1200).mp4 - 14.88 MB week2-01/Natural Language Processing 4.3 Parameter Estimation in HMMs (1316).mp4 - 16.27 MB week2-01/Natural Language Processing 4.4 The Viterbi Algorithm for HMMs (Part 1) (1407).mp4 - 17.01 MB week2-01/Natural Language Processing 4.5 The Viterbi Algorithm for HMMs (Part 2) (331).mp4 - 4.21 MB week2-01/Natural Language Processing 4.6 The Viterbi Algorithm for HMMs (Part 3) (733).mp4 - 9.27 MB week2-01/Natural Language Processing 4.7 Summary (150).mp4 - 2.22 MB week3-01/Natural Language Processing 5.0 Introduction (028).mp4 - 1016.68 KB week3-01/Natural Language Processing 5.1 Introduction to the Parsing Problem (Part 1) (1037).mp4 - 12.64 MB week3-01/Natural Language Processing 5.2 Introduction to the Parsing Problem (Part 2) (420).mp4 - 5.11 MB week3-01/Natural Language Processing 5.3 Context-Free Grammars (Part 1) (1211).mp4 - 14.52 MB week3-01/Natural Language Processing 5.4 Context-Free Grammars (Part 2) (222).mp4 - 2.79 MB week3-01/Natural Language Processing 5.5 A Simple Grammar for English (Part 1) (1032).mp4 - 12.57 MB week3-01/Natural Language Processing 5.6 A Simple Grammar for English (Part 2) (530).mp4 - 6.36 MB week3-01/Natural Language Processing 5.7 A Simple Grammar for English (Part 3) (1121).mp4 - 13.93 MB week3-01/Natural Language Processing 5.8 A Simple Grammar for English (Part 4) (220).mp4 - 2.85 MB week3-01/Natural Language Processing 5.9 Examples of Ambiguity (556).mp4 - 6.67 MB week3-02/Natural Language Processing 6.0 Introduction (112).mp4 - 1.29 MB week3-02/Natural Language Processing 6.1 Basics of PCFGs (Part 1) (943).mp4 - 11.61 MB week3-02/Natural Language Processing 6.2 Basics of PCFGs (Part 2) (826).mp4 - 10.82 MB week3-02/Natural Language Processing 6.3 The CKY Parsing Algorithm (Part 1) (731).mp4 - 9.35 MB week3-02/Natural Language Processing 6.4 The CKY Parsing Algorithm (Part 2) (1322).mp4 - 16.58 MB week3-02/Natural Language Processing 6.5 The CKY Parsing Algorithm (Part 3) (1007).mp4 - 12.38 MB week4-01/Natural Language Processing 7.0 Weaknesses of PCFGs (1459).mp4 - 17.93 MB week4-02/Natural Language Processing 8.0 Introduction (0017).mp4 - 330.36 KB week4-02/Natural Language Processing 8.1 Lexicalization of a Treebank (1044).mp4 - 12.84 MB week4-02/Natural Language Processing 8.2 Lexicalized PCFGs Basic Definitions (1240).mp4 - 15.95 MB week4-02/Natural Language Processing 8.3 Parameter Estimation in Lexicalized PCFGs (Part 1) (528).mp4 - 6.53 MB week4-02/Natural Language Processing 8.4 Parameter Estimation in Lexicalized PCFGs (Part 2) (908).mp4 - 11.11 MB week4-02/Natural Language Processing 8.5 Evaluation of Lexicalized PCFGs (Part 1) (932).mp4 - 12.14 MB week4-02/Natural Language Processing 8.6 Evaluation of Lexicalized PCFGs (Part 2) (1128).mp4 - 14.31 MB week5-01/Natural Language Processing 9.0 Opening Comments (025).mp4 - 452.36 KB week5-01/Natural Language Processing 9.1 introduction (203).mp4 - 2.36 MB week5-01/Natural Language Processing 9.2 Challenges in MT (806).mp4 - 9.37 MB week5-01/Natural Language Processing 9.3 Classical Approaches to MT (Part 1) (802).mp4 - 10 MB week5-01/Natural Language Processing 9.4 Classical Approaches to MT (Part 2) (556).mp4 - 7.27 MB week5-01/Natural Language Processing 9.5 Introduction to Statistical MT (1231).mp4 - 15.67 MB week5-02/Natural Language Processing 10.0 Introduction (324).mp4 - 3.96 MB week5-02/Natural Language Processing 10.1 IBM Model 1 (Part 1) (1306).mp4 - 16.08 MB week5-02/Natural Language Processing 10.2 IBM Model 1 (Part 2) (901).mp4 - 10.86 MB week5-02/Natural Language Processing 10.3 IBM Model 2 (1127).mp4 - 13.89 MB week5-02/Natural Language Processing 10.4 The EM Algorithm for IBM Model 2 (Part 1) (509).mp4 - 6.45 MB week5-02/Natural Language Processing 10.5 The EM Algorithm for IBM Model 2 (Part 2) (837).mp4 - 11.18 MB week5-02/Natural Language Processing 10.6 The EM Algorithm for IBM Model 2 (Part 3) (928).mp4 - 11.65 MB week5-02/Natural Language Processing 10.7 The EM Algorithm for IBM Model 2 (Part 4) (452).mp4 - 6.14 MB week5-02/Natural Language Processing 10.8 Summary (148).mp4 - 2.26 MB week6-01/Natural Language Processing 11.0 Introduction (041).mp4 - 741.63 KB week6-01/Natural Language Processing 11.1 Learning Phrases from Alignments (Part 1) (918).mp4 - 11.54 MB week6-01/Natural Language Processing 11.2 Learning Phrases from Alignments (Part 2) (701).mp4 - 8.49 MB week6-01/Natural Language Processing 11.3 Learning Phrases from Alignments (Part 3) (847).mp4 - 11.11 MB week6-01/Natural Language Processing 11.4 A Sketch of Phrase-based Translation (817).mp4 - 9.86 MB week6-02/Natural Language Processing 12.0 Definition of the Decoding Problem (Part 1) (912).mp4 - 11.73 MB week6-02/Natural Language Processing 12.1 Definition of the Decoding Problem (Part 2) (1300).mp4 - 15.85 MB week6-02/Natural Language Processing 12.2 Definition of the Decoding Problem (Part 3) (1043).mp4 - 13.5 MB week6-02/Natural Language Processing 12.3 The Decoding Algorithm (Part 1) (1439).mp4 - 17.99 MB week6-02/Natural Language Processing 12.4 The Decoding Algorithm (Part 2) (623).mp4 - 7.59 MB week6-02/Natural Language Processing 12.5 The Decoding Algorithm (Part 3) (1229).mp4 - 15.93 MB week7-01/Natural Language Processing 13.0 Introduction (047).mp4 - 849.63 KB week7-01/Natural Language Processing 13.1 Two Example Problems (1119).mp4 - 14.13 MB week7-01/Natural Language Processing 13.2 Features in Log-Linear Models (Part 1) (1356).mp4 - 17.13 MB week7-01/Natural Language Processing 13.3 Features in Log-Linear Models (Part 2) (1013).mp4 - 12.55 MB week7-01/Natural Language Processing 13.4 Definition of Log-linear Models (Part 1) (1150).mp4 - 14.61 MB week7-01/Natural Language Processing 13.5 Definition of Log-linear Models (Part 2) (345).mp4 - 4.53 MB week7-01/Natural Language Processing 13.6 Parameter Estimation in Log-linear Models (Part 1) (1244).mp4 - 15.55 MB week7-01/Natural Language Processing 13.7 Parameter Estimation in Log-linear Models (Part 2) (413).mp4 - 5.22 MB week7-01/Natural Language Processing 13.8 SmoothingRegularization in Log-linear Models (1512).mp4 - 19.25 MB week8-01/Natural Language Processing 14.0 Introduction (141).mp4 - 1.91 MB week8-01/Natural Language Processing 14.1 Recap of the Tagging Problem (315).mp4 - 4.31 MB week8-01/Natural Language Processing 14.2 Independence Assumptions in Log-linear Taggers (832).mp4 - 10.3 MB week8-01/Natural Language Processing 14.3 Features in Log-Linear Taggers (1321).mp4 - 16.32 MB week8-01/Natural Language Processing 14.4 Parameters in Log-linear Models (359).mp4 - 4.82 MB week8-01/Natural Language Processing 14.5 The Viterbi Algorithm for Log-linear Taggers (937).mp4 - 11.38 MB week8-01/Natural Language Processing 14.6 An Example Application (928).mp4 - 11.56 MB week8-01/Natural Language Processing 14.7 Summary (245).mp4 - 3.25 MB week8-02/Natural Language Processing 15.0 Introduction (047).mp4 - 873.89 KB week8-02/Natural Language Processing 15.1 Conditional History-based Models (714).mp4 - 8.67 MB week8-02/Natural Language Processing 15.2 Representing Trees as Decision Sequences (Part 1) (723).mp4 - 8.72 MB week8-02/Natural Language Processing 15.3 Representing Trees as Decision Sequences (Part 2) (1020).mp4 - 11.98 MB week8-02/Natural Language Processing 15.4 Features and Beam Search (1210).mp4 - 14.65 MB week8-02/Natural Language Processing 15.5 Summary (112).mp4 - 1.38 MB week9-01/Natural Language Processing 16.0 Introduction (036).mp4 - 670.94 KB week9-01/Natural Language Processing 16.1 Word Cluster Representations (836).mp4 - 11.06 MB week9-01/Natural Language Processing 16.2 The Brown Clustering Algorithm (Part 1) (1150).mp4 - 14.44 MB week9-01/Natural Language Processing 16.3 The Brown Clustering Algorithm (Part 2) (830).mp4 - 10.56 MB week9-01/Natural Language Processing 16.4 The Brown Clustering Algorithm (Part 3) (918).mp4 - 11.69 MB week9-01/Natural Language Processing 16.5 Clusters in NE Recognition (Part 1) (1133).mp4 - 15.31 MB week9-01/Natural Language Processing 16.6 Clusters in NE Recognition (Part 2) (728).mp4 - 8.88 MB week9-02/Natural Language Processing 17.0 Introduction (030).mp4 - 574.81 KB week9-02/Natural Language Processing 17.1 Recap of History-based Models (711).mp4 - 9.01 MB week9-02/Natural Language Processing 17.2 Motivation for GLMs (634).mp4 - 7.86 MB week9-02/Natural Language Processing 17.3 Three Components of GLMs (1439).mp4 - 17.32 MB week9-02/Natural Language Processing 17.4 GLMs for Parse Reranking (1036).mp4 - 12.8 MB week9-02/Natural Language Processing 17.5 Parameter Estimation with the Perceptron Algorithm (611).mp4 - 7.32 MB week9-02/Natural Language Processing 17.6 Summary (301).mp4 - 3.76 MB

Torrent Files

Size: 1.12 GB

coursera-nlp

assignments

assignment-1/h1-p.4.pdf -

148.81 KB

assignment-1/h1-p.zip -

1.01 MB

assignment-2/h2-p.2.pdf -

168.59 KB

assignment-2/h2.2.zip -

139.86 KB

assignment-3/h3-p.pdf -

151.91 KB

assignment-3/h3.zip -

608.01 KB

assignment-4/h4-p.pdf -

167.24 KB

assignment-4/h4.zip -

1.2 MB

lectures

week1-01/Natural Language Processing 0.0 Introduction (Part 1) (1117).mp4 -

14.18 MB

week1-01/Natural Language Processing 0.1 Introduction (Part 2) (1028).mp4 -

11.86 MB

week1-02/Natural Language Processing 1.0 Introduction to the Language Modeling Problem (Part 1) (617).mp4 -

7.49 MB

week1-02/Natural Language Processing 1.1 Introduction to the Language Modeling Problem (Part 2) (712).mp4 -

8.33 MB

week1-02/Natural Language Processing 1.2 Markov Processes (Part 1) (856).mp4 -

10.22 MB

week1-02/Natural Language Processing 1.3 Markov Processes (Part 2) (628).mp4 -

7.35 MB

week1-02/Natural Language Processing 1.4 Trigram Language Models (940).mp4 -

11.07 MB

week1-02/Natural Language Processing 1.5 Evaluating Language Models Perplexity (1236).mp4 -

14.74 MB

week1-03/Natural Language Processing 2.0 Linear Interpolation (Part 1) (746).mp4 -

9.07 MB

week1-03/Natural Language Processing 2.1 Linear Interpolation (Part 2) (1135).mp4 -

13.67 MB

week1-03/Natural Language Processing 2.2 Discounting Methods (Part 1) (926).mp4 -

11.19 MB

week1-03/Natural Language Processing 2.3 Discounting Methods (Part 2) (334).mp4 -

4.43 MB

week1-04/Natural Language Processing 3.0 Summary (231).mp4 -

3.01 MB

week10-01/Natural Language Processing 18.0 Introduction (102).mp4 -

1.14 MB

week10-01/Natural Language Processing 18.1 Recap of GLMs (740).mp4 -

9.18 MB

week10-01/Natural Language Processing 18.2 GLMs for Tagging (Part 1) (526).mp4 -

6.94 MB

week10-01/Natural Language Processing 18.3 GLMs for Tagging (Part 2) (735).mp4 -

9.32 MB

week10-01/Natural Language Processing 18.4 GLMs for Tagging (Part 3) (706).mp4 -

8.71 MB

week10-01/Natural Language Processing 18.5 GLMs for Tagging (Part 4) (600).mp4 -

7.23 MB

week10-02/Natural Language Processing 19.0 Introduction (037).mp4 -

699.68 KB

week10-02/Natural Language Processing 19.1 The Dependency Parsing Problem (Part 1) (521).mp4 -

6.4 MB

week10-02/Natural Language Processing 19.2 The Dependency Parsing Problem (Part 2) (1353).mp4 -

17.13 MB

week10-02/Natural Language Processing 19.3 GLMs for Dependency Parsing (Part 1) (1159).mp4 -

14.15 MB

week10-02/Natural Language Processing 19.4 GLMs for Dependency Parsing (Part 2) (828).mp4 -

10.98 MB

week10-02/Natural Language Processing 19.5 Experiments with GLMs for Dep. Parsing (538).mp4 -

6.95 MB

week10-02/Natural Language Processing 19.6 Summary (250).mp4 -

3.35 MB

week2-01/Natural Language Processing 4.0 The Tagging Problem (1001).mp4 -

13.05 MB

week2-01/Natural Language Processing 4.1 Generative Models for Supervised Learning (857).mp4 -

10.68 MB

week2-01/Natural Language Processing 4.2 Hidden Markov Models (HMMs) Basic Definitions (1200).mp4 -

14.88 MB

week2-01/Natural Language Processing 4.3 Parameter Estimation in HMMs (1316).mp4 -

16.27 MB

week2-01/Natural Language Processing 4.4 The Viterbi Algorithm for HMMs (Part 1) (1407).mp4 -

17.01 MB

week2-01/Natural Language Processing 4.5 The Viterbi Algorithm for HMMs (Part 2) (331).mp4 -

4.21 MB

week2-01/Natural Language Processing 4.6 The Viterbi Algorithm for HMMs (Part 3) (733).mp4 -

9.27 MB

week2-01/Natural Language Processing 4.7 Summary (150).mp4 -

2.22 MB

week3-01/Natural Language Processing 5.0 Introduction (028).mp4 -

1016.68 KB

week3-01/Natural Language Processing 5.1 Introduction to the Parsing Problem (Part 1) (1037).mp4 -

12.64 MB

week3-01/Natural Language Processing 5.2 Introduction to the Parsing Problem (Part 2) (420).mp4 -

5.11 MB

week3-01/Natural Language Processing 5.3 Context-Free Grammars (Part 1) (1211).mp4 -

14.52 MB

week3-01/Natural Language Processing 5.4 Context-Free Grammars (Part 2) (222).mp4 -

2.79 MB

week3-01/Natural Language Processing 5.5 A Simple Grammar for English (Part 1) (1032).mp4 -

12.57 MB

week3-01/Natural Language Processing 5.6 A Simple Grammar for English (Part 2) (530).mp4 -

6.36 MB

week3-01/Natural Language Processing 5.7 A Simple Grammar for English (Part 3) (1121).mp4 -

13.93 MB

week3-01/Natural Language Processing 5.8 A Simple Grammar for English (Part 4) (220).mp4 -

2.85 MB

week3-01/Natural Language Processing 5.9 Examples of Ambiguity (556).mp4 -

6.67 MB

week3-02/Natural Language Processing 6.0 Introduction (112).mp4 -

1.29 MB

week3-02/Natural Language Processing 6.1 Basics of PCFGs (Part 1) (943).mp4 -

11.61 MB

week3-02/Natural Language Processing 6.2 Basics of PCFGs (Part 2) (826).mp4 -

10.82 MB

week3-02/Natural Language Processing 6.3 The CKY Parsing Algorithm (Part 1) (731).mp4 -

9.35 MB

week3-02/Natural Language Processing 6.4 The CKY Parsing Algorithm (Part 2) (1322).mp4 -

16.58 MB

week3-02/Natural Language Processing 6.5 The CKY Parsing Algorithm (Part 3) (1007).mp4 -

12.38 MB

week4-01/Natural Language Processing 7.0 Weaknesses of PCFGs (1459).mp4 -

17.93 MB

week4-02/Natural Language Processing 8.0 Introduction (0017).mp4 -

330.36 KB

week4-02/Natural Language Processing 8.1 Lexicalization of a Treebank (1044).mp4 -

12.84 MB

week4-02/Natural Language Processing 8.2 Lexicalized PCFGs Basic Definitions (1240).mp4 -

15.95 MB

week4-02/Natural Language Processing 8.3 Parameter Estimation in Lexicalized PCFGs (Part 1) (528).mp4 -

6.53 MB

week4-02/Natural Language Processing 8.4 Parameter Estimation in Lexicalized PCFGs (Part 2) (908).mp4 -

11.11 MB

week4-02/Natural Language Processing 8.5 Evaluation of Lexicalized PCFGs (Part 1) (932).mp4 -

12.14 MB

week4-02/Natural Language Processing 8.6 Evaluation of Lexicalized PCFGs (Part 2) (1128).mp4 -

14.31 MB

week5-01/Natural Language Processing 9.0 Opening Comments (025).mp4 -

452.36 KB

week5-01/Natural Language Processing 9.1 introduction (203).mp4 -

2.36 MB

week5-01/Natural Language Processing 9.2 Challenges in MT (806).mp4 -

9.37 MB

week5-01/Natural Language Processing 9.3 Classical Approaches to MT (Part 1) (802).mp4 -

10 MB

week5-01/Natural Language Processing 9.4 Classical Approaches to MT (Part 2) (556).mp4 -

7.27 MB

week5-01/Natural Language Processing 9.5 Introduction to Statistical MT (1231).mp4 -

15.67 MB

week5-02/Natural Language Processing 10.0 Introduction (324).mp4 -

3.96 MB

week5-02/Natural Language Processing 10.1 IBM Model 1 (Part 1) (1306).mp4 -

16.08 MB

week5-02/Natural Language Processing 10.2 IBM Model 1 (Part 2) (901).mp4 -

10.86 MB

week5-02/Natural Language Processing 10.3 IBM Model 2 (1127).mp4 -

13.89 MB

week5-02/Natural Language Processing 10.4 The EM Algorithm for IBM Model 2 (Part 1) (509).mp4 -

6.45 MB

week5-02/Natural Language Processing 10.5 The EM Algorithm for IBM Model 2 (Part 2) (837).mp4 -

11.18 MB

week5-02/Natural Language Processing 10.6 The EM Algorithm for IBM Model 2 (Part 3) (928).mp4 -

11.65 MB

week5-02/Natural Language Processing 10.7 The EM Algorithm for IBM Model 2 (Part 4) (452).mp4 -

6.14 MB

week5-02/Natural Language Processing 10.8 Summary (148).mp4 -

2.26 MB

week6-01/Natural Language Processing 11.0 Introduction (041).mp4 -

741.63 KB

week6-01/Natural Language Processing 11.1 Learning Phrases from Alignments (Part 1) (918).mp4 -

11.54 MB

week6-01/Natural Language Processing 11.2 Learning Phrases from Alignments (Part 2) (701).mp4 -

8.49 MB

week6-01/Natural Language Processing 11.3 Learning Phrases from Alignments (Part 3) (847).mp4 -

11.11 MB

week6-01/Natural Language Processing 11.4 A Sketch of Phrase-based Translation (817).mp4 -

9.86 MB

week6-02/Natural Language Processing 12.0 Definition of the Decoding Problem (Part 1) (912).mp4 -

11.73 MB

week6-02/Natural Language Processing 12.1 Definition of the Decoding Problem (Part 2) (1300).mp4 -

15.85 MB

week6-02/Natural Language Processing 12.2 Definition of the Decoding Problem (Part 3) (1043).mp4 -

13.5 MB

week6-02/Natural Language Processing 12.3 The Decoding Algorithm (Part 1) (1439).mp4 -

17.99 MB

week6-02/Natural Language Processing 12.4 The Decoding Algorithm (Part 2) (623).mp4 -

7.59 MB

week6-02/Natural Language Processing 12.5 The Decoding Algorithm (Part 3) (1229).mp4 -

15.93 MB

week7-01/Natural Language Processing 13.0 Introduction (047).mp4 -

849.63 KB

week7-01/Natural Language Processing 13.1 Two Example Problems (1119).mp4 -

14.13 MB

week7-01/Natural Language Processing 13.2 Features in Log-Linear Models (Part 1) (1356).mp4 -

17.13 MB

week7-01/Natural Language Processing 13.3 Features in Log-Linear Models (Part 2) (1013).mp4 -

12.55 MB

week7-01/Natural Language Processing 13.4 Definition of Log-linear Models (Part 1) (1150).mp4 -

14.61 MB

week7-01/Natural Language Processing 13.5 Definition of Log-linear Models (Part 2) (345).mp4 -

4.53 MB

week7-01/Natural Language Processing 13.6 Parameter Estimation in Log-linear Models (Part 1) (1244).mp4 -

15.55 MB

week7-01/Natural Language Processing 13.7 Parameter Estimation in Log-linear Models (Part 2) (413).mp4 -

5.22 MB

week7-01/Natural Language Processing 13.8 SmoothingRegularization in Log-linear Models (1512).mp4 -

19.25 MB

week8-01/Natural Language Processing 14.0 Introduction (141).mp4 -

1.91 MB

week8-01/Natural Language Processing 14.1 Recap of the Tagging Problem (315).mp4 -

4.31 MB

week8-01/Natural Language Processing 14.2 Independence Assumptions in Log-linear Taggers (832).mp4 -

10.3 MB

week8-01/Natural Language Processing 14.3 Features in Log-Linear Taggers (1321).mp4 -

16.32 MB

week8-01/Natural Language Processing 14.4 Parameters in Log-linear Models (359).mp4 -

4.82 MB

week8-01/Natural Language Processing 14.5 The Viterbi Algorithm for Log-linear Taggers (937).mp4 -

11.38 MB

week8-01/Natural Language Processing 14.6 An Example Application (928).mp4 -

11.56 MB

week8-01/Natural Language Processing 14.7 Summary (245).mp4 -

3.25 MB

week8-02/Natural Language Processing 15.0 Introduction (047).mp4 -

873.89 KB

week8-02/Natural Language Processing 15.1 Conditional History-based Models (714).mp4 -

8.67 MB

week8-02/Natural Language Processing 15.2 Representing Trees as Decision Sequences (Part 1) (723).mp4 -

8.72 MB

week8-02/Natural Language Processing 15.3 Representing Trees as Decision Sequences (Part 2) (1020).mp4 -

11.98 MB

week8-02/Natural Language Processing 15.4 Features and Beam Search (1210).mp4 -

14.65 MB

week8-02/Natural Language Processing 15.5 Summary (112).mp4 -

1.38 MB

week9-01/Natural Language Processing 16.0 Introduction (036).mp4 -

670.94 KB

week9-01/Natural Language Processing 16.1 Word Cluster Representations (836).mp4 -

11.06 MB

week9-01/Natural Language Processing 16.2 The Brown Clustering Algorithm (Part 1) (1150).mp4 -

14.44 MB

week9-01/Natural Language Processing 16.3 The Brown Clustering Algorithm (Part 2) (830).mp4 -

10.56 MB

week9-01/Natural Language Processing 16.4 The Brown Clustering Algorithm (Part 3) (918).mp4 -

11.69 MB

week9-01/Natural Language Processing 16.5 Clusters in NE Recognition (Part 1) (1133).mp4 -

15.31 MB

week9-01/Natural Language Processing 16.6 Clusters in NE Recognition (Part 2) (728).mp4 -

8.88 MB

week9-02/Natural Language Processing 17.0 Introduction (030).mp4 -

574.81 KB

week9-02/Natural Language Processing 17.1 Recap of History-based Models (711).mp4 -

9.01 MB

week9-02/Natural Language Processing 17.2 Motivation for GLMs (634).mp4 -

7.86 MB

week9-02/Natural Language Processing 17.3 Three Components of GLMs (1439).mp4 -

17.32 MB

week9-02/Natural Language Processing 17.4 GLMs for Parse Reranking (1036).mp4 -

12.8 MB

week9-02/Natural Language Processing 17.5 Parameter Estimation with the Perceptron Algorithm (611).mp4 -

7.32 MB

week9-02/Natural Language Processing 17.6 Summary (301).mp4 -

3.76 MB

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